Atlas-based segmentation of pathological brain MR images

Details

Serval ID
serval:BIB_5C917B02DD81
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Atlas-based segmentation of pathological brain MR images
Title of the conference
ICIP 2003, International Conference on Image Processing
Author(s)
Bach Cuadra M., Pollo C., Bardera A., Cuisenaire O., Villemure J., Thiran J.
Address
Barcelona, Spain, September 14-17, 2003
ISBN
1522-4880
Publication state
Published
Issued date
2003
Volume
1
Series
Proceedings ICIP, IEEE International Conference on Image Processing
Pages
573-576
Language
english
Notes
Publication type : Proceedings Paper
Abstract
We propose a method for brain atlas deformation inpresence of large space-occupying tumors, based on an apriori model of lesion growth that assumes radialexpansion of the lesion from its starting point. First,an affine registration brings the atlas and the patientinto global correspondence. Then, the seeding of asynthetic tumor into the brain atlas provides a templatefor the lesion. Finally, the seeded atlas is deformed,combining a method derived from optical flow principlesand a model of lesion growth (MLG). Results show that themethod can be applied to the automatic segmentation ofstructures and substructures in brains with grossdeformation, with important medical applications inneurosurgery, radiosurgery and radiotherapy.
Keywords
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Create date
29/11/2011 17:40
Last modification date
20/08/2019 15:15
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